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PaperNature

Highly accurate protein structure prediction with AlphaFold

AuthorsDemis HassabisJohn Jumper

The Nature paper described AlphaFold's methods, system design, and evaluation for protein-structure prediction.

Era Large models

A representative, traceable case that made AI-assisted scientific discovery broadly legible to the public.

CapabilitiesScience

ApplicationsBiomedicine

HistoryResearch history

20241

  1. MilestoneHassabis and Jumper share the Nobel Prize in Chemistry for AlphaFold

    The 2024 Nobel Prize in Chemistry went to David Baker for computational protein design and, jointly, to Demis Hassabis and John Jumper of Google DeepMind for AI-based protein structure prediction. The Academy said their work solved a 50-year-old problem.

20211

  1. PaperAlphaFold2 structure-prediction research appears in Nature

    In July 2021 the journal Nature published the AlphaFold2 paper from DeepMind. The AI system predicts a protein's three-dimensional shape from its amino-acid sequence, and DeepMind then released its code and a free structure database.

Sources

  1. Highly accurate protein structure prediction with AlphaFoldnature.com · https://www.nature.com/articles/s41586-021-03819-2

Cite this page: Highly accurate protein structure prediction with AlphaFold. TellWorld, https://www.tellworld.net/papers/highly-accurate-protein-structure-prediction. Updated 2026-11-07